which suggests the use of interaction terms to compute the Chow test
statistic. As I have over 70 variables in the model, this is quite a
tedious process. Can anyone please suggest an easier way to do this?

As Maarten notes, using interactions really isn't that hard to do in Stata 11.

That same FAQ also shows you how to do a Chow test by estimating
separate regressions for each group and contrasting it with the
pooled regression. A few calculations are required but the number of
variables does not affect how complicated those calculations are.

You can also use the -suest- command. Here is a slightly modified
version of the example that appears in the help for -suest-.

When doing a Chow test, you may or may not want to impose the
constraint that the intercepts are equal. It is pretty common to
allow them to be different while all other coefficients are
constrained to be the same.